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Raman Refractometer Analyser Tool

The following invention represents a possibility to identify infusions when administered by an injection pump. The method involves a combination of Raman spectroscopy and refractometry. Both methods of analysis are based on instrumental analysis. Furthermore, algorithms are used for the evaluation which can be assigned to indirect hard modelling and statistics.

Challenge

The problem of incorrect medications and infusion solutions in hospitals is well known. With a clear identification, for which both Raman spectroscopy and refractometry are necessary, wrong medications can be detected by the invention presented here and can then be prevented by medical personnel. When comparing the results of the analysis with the hospital IT, a further service (such as e.g. drug intolerance) is available which can trigger an alarm. So far, all attempts to reduce medication errors have been based on non-technical solutions, for example the use of barcode systems.  

Our Solution

(Figure 1.Study of an automated analyzer for the identification of infusion solution in a syringe)

The drugs, which are present in solutions, are analyzed by Raman spectroscopy and refractometry within a flow cell. The results of the two methods are combined and compared with the spectra and refractive index database. This is a first result by the analysis tool. The output of the extended final result takes place after the comparison of the first result with the hospital IT. The basis for such a measurement strategy is the fact that many drugs can already be detected by Raman spectroscopy alone. However, aqueous solutions of NaCl and KCl cannot be distinguished by Raman spectro-scopy. Refractometry is used to compensate for this disadvantage. Thus, the aqueous solutions of NaCl and KCl used in medicine are clearly distinguishable from each other. In the next step, algorithms use indirect hard modelling and statistical methods to recognize not only the composition of drugs in the solution but also the quantities. The result of the Raman measurement enables the qualification and quantification of Raman-active substances. In this case, refractometry is used to verify the Raman result. The result of the quantification is optimized at the same time. This is not possible directly for Raman inactive substances. Here the qualification and quantification of refractometry are necessary. 

(Figure 2.:Schematic representation of data fusion and comparison with an internal database and optional comparison with the hospital IT about the medication to be applied.)

Advantages

  • direct analysis of the medication
  • detection of medication errors
  • reduction of human errors

Applications

  • in the medical field, monitoring of infusions
  • use in the petrochemical industry
  • use in the food industry
  • general possibility of quality control in liquids  

 

Development Status

Several  measurements have been carried out proving the success of this technology. Figure 3 shows an example of the signal detection Raman of glucose. Furthermore, the automated detection of the following substances like: Insulin 1i.E. noradrenalin, heparin, NaCl, KCl, NaBic is realized already succsefully. Moreover, a final prototype exists. The next step is to develop a commercial device.

Patent Status

German patent application: DE102017108120A1
International patent application: WO2018188699A1

Applicants:
Laser Laboratorium Göttingen e.V.

Contact

Dr. Ireneusz Iwanowski
Patent Manager (Physics, Technology and Software)
E-Mail: iiwanowski(at)sciencebridge.de
Tel.: +49 (0) 551 30 724 153
Reference: CPA-1678-SUG
www.sciencebridge.de

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